Health Record Linkage at Statistics Canada

Transcription

1 Health Record Linkage at Statistics Canada Telling Canada s story in numbers Nicole Aitken, Philippe Finès Statistics Canada Thursday, November 16 th 2017

2 Why use linked data? Harnessing the full potential of data Innovations in linking data Improve the care and health of Canadians High analytical potential: allows researchers to fill data gaps 2

3 What is Record Linkage? A process whereby personal identifiers are used to identify the same people in different datasources Name, date of birth, health card number, postal code Canadian Health Measures Survey to Canadian Cancer Registry 3

4 Record linkage at Statistics Canada Secure virtual linkage environment that stores only personal identifiers in a protected depository that is used to generate linkage keys across data sources. Keys are stored separately from data. Do NOT create large integrated data bases of survey information about individuals. Strong governance, adherence to policy and privacy requirements. Suite of services, tools and support for analysts and external researchers conducting record linkage activities within the social domain. 4

5 How does it work? 5

6 Linked Data Available to All in the RDCs 6

7 Process to access linked RDC data Secondary use of existing linked data-sources Have a research question Access the data in an Research Data Center (RDC) following standard RDC procedures Submit a project proposal Complete the application form 7

8 What linked health data are available in the RDC now? Census 2006 to Discharge Abstract Database (2006 to 2008) Canadian Community Health Survey (CCHS) Annual (2000 to 2011) and Focus (1.2, 2.2 and 4.2) to: Canadian Vital Statistics Deaths (CVSD; 2000 to 2015) Discharge Abstract Database (1999/2000 to 2012/13) 1991 and 2001 Canadian Census Health and Environment Cohorts (CanCHEC) Weights will be available by the end of the calendar year Perinatal Outcomes (2006 Canadian Birth-Census Cohort) 8

9 What linked health data are coming to the RDC? DAD (2000/ /15); NACRS (2000/ /15) and; OMHRS (2005/ /15) to CVSD ( ) CVSD ( ) to DAD (2004/ /15); NACRS (2004/ /15) Canadian Cancer Registry (1992 to 2014) to deaths (1992 to 2014) 1996 CanCHEC followed for mortality to 2013 (with weights) 2001 CanCHEC followed for cancer to 2013 (with weights) Note: DAD= Discharge Abstract Database NACRS=National Ambulatory Care Reporting System OMHRS=Ontario Mental Health Reporting System CVSD= Canadian Vital Statistics Death Database CanCHEC = Canadian Census Health and Environment Cohort 9

10 What linked health data are coming to the RDC? Canadian Cancer Registry (CCR; 1992 to 2014) to DAD and NACRS Tax (income data) 2016 Census Longitudinal Immigration Database (IMDB) CVSD Canadian Community Health Survey (CCHS) Annual ( ) and Focus (1.2, 5.2) to Longitudinal Immigration Database ( ) Occupational Cohorts: National Dose Registry to CVSD and CCR Newfoundland Fluorspar Miners cohort to CVSD and CCR 10

11 For more information HSD Record Linkage Mailbox Evan Green 11

12 12 Transition to part II

13 Summary Details on the databases 3 linked databases The Census DAD linked database The CCHS CMDB DAD linked database The Census Tax Mortality Cancer linked database 13

14 14 Details on the databases

15 Canadian Community Health Survey (CCHS) Large, biennial, cross-sectional survey (~130,000); after 2007, annual survey (~65,000); Covers the household population aged 12+ representing ~98% Excludes members of the regular Forces, institutionalized, Indian Reserves, and some remote areas Regular collection since 2000/01 Core Content: health status, Risk behaviours, chronic conditions, socioeconomic indicators Focus content since 2002 Topics include mental health (Cycle 1.2), food intake (Cycle 2.2), aging (Cycle 4.2) Sample size (~30,000) 15

16 Census Long form (20% representative sample of the Canadian household population) Income personal, household, source Immigration time of immigration, world region of birth, generational status Ethnicity Household composition - marital status, relationship of occupants, living arrangements Housing type, tenure, need of repair Collective dwellings - rooming houses, hotels and shelters Language - mother tongue, home language, knowledge of official language Disability status Rural-urban residence Indigenous status.and on and on. 16

17 Discharge Abstract Database (DAD) Obtained from the Canadian Institute of Health Information (CIHI) DAD 2005/06 through 2008/09 used for pre-processing DAD 2006/07 through 2008/09 used for record linkage Census of discharges from acute care hospitals (~3 million records per yr) (excludes Quebec) Contains demographic, non-medical administrative and clinical information (diagnostics and interventions) Use of resources via the Resource Intensity Weights which used in combination with costs of hospital stays (per day) can be used to derive costs. Able to count events but also create patient histories by linking hospitalizations at the person-level using personal health numbers 17

18 Mortality and place of residence Canadian Vital Statistics Death Database (CVSD) 2000 to 2009 Census of deaths in Canada Underlying cause of death, date of death, age at death Tax file 1990 to 2009 Tax filers Annual place of residence (postal code on tax return) 18

19 Some words on Validation Two parts of validation: Internal validation quality of the linkage (error rates) Do the linked pairs represent good links? Are there any missed links among the non-linked pairs? External validation quality of the linked data (representativeness of analytical file) Do the outcomes in the linked data file represent the experiences of the population of interest? 19

20 20 1) 2006 Canadian Census and Discharge Abstract Database Linkage

21 Context To better understand the health outcomes and healthcare use of specific sub-populations Immigrants, Indigenous groups Identify and quantify differences Understand differences in the context of other social determinants of health 21

22 Research areas Immigrant research Comparative analysis of hospitalizations by immigrant status, source country and time since immigration; Use of hospital services among immigrant seniors; Multi-generational analysis of cardiovascular related hospitalizations is the health advantage lost among second generation? Aboriginal research Comparative analysis of hospitalization rates among Indigenous groups, on and off reserve Impact of housing condition on respiratory related hospitalizations among First Nations on reserve 22

23 2006 Census Cohort: DAD follow-up 2006 long-form census Discharge Administrative Database age & sex education & income employment immigration status ethnicity 23

24 Step 1: Data Preparation Eligibility of records for linkage: Complete (non-missing) date of birth in both Census and DAD; Statistical linkage key must be unique in Census - no duplicates (e.g. multiple births removed) Statistical linkage key associated with only one Health Insurance Number (HIN) in DAD Hierarchical Deterministic Linkage Unique statistical linkage key date of birth, sex, postal code Used postal code information from HSTF as alternative to capture change in address overtime Series of exact matches -conservative approach but appropriate given lack of unique identifying information 24

25 Steps 2: Record Linkage 2006 Census (keys) Hierarchical Deterministic Linkage Match: Deterministic linkage using PHIN and P/T to link to other DAD transactions DAD (keys) DAD (transactions) 25

26 Research Results (Carriere G, Bougie E et al. Health Reports, August 2016) Age-standardized acute-care hospitalization rates (ASHR) per 100,000 non-institutionalized population, by Aboriginal identity and by diagnostic chapter, Canada (excluding Quebec), combined fiscal 2006/2007 through 2008/2009 Digestive Injuries Respiratory Circulatory system Mental and behavioural disorders Endocrine, nutritional,metabolic Genitourinary First Nations living on reserve First Nations living off reserve Métis Inuit living in Inuit Nunangat Non-Aboriginal Musculoskeletal, connective tissue Rate per 100,000 population Source: Census of Population 2006, Census-linked Discharge Abstract Database 2006/2007, 2007/2008, 2008/2009 pooled.

27 27 2) Canadian Community Health Survey (CCHS) linked to Canadian Vital Statistics Death Database (CVSD) and Discharge Abstract Database (DAD)

28 Background Enhance the capacity of health data to address complex questions with value added information - fill data gaps Survey data lots of socio-economic, risk factor information but no outcomes; Administrative data outcome information (hospitalization, mortality) but limited individual information Linked data allow for population health lens to the study of health care services and outcomes Used to study a wider range of determinants of health care use and outcomes of care Population based studies on a representative sample of Canadians Large sample sizes - study specific populations and rare events Opportunity for comparisons across provinces and territories 28

29 Research examples 1. To understand the interaction between socio-economic and behavioural risk factors and their effect on the use and cost of hospital services 2. To understand the extent to which differences in the prevalence of risk factors in Canada explains the variation in the use of hospital services 3. To examine the interaction between risk factors, ambient air pollution exposures, mortality, and the use of hospital services 29

30 Canadian Community Health Survey Cohorts Residential mobility through time CCHS survey cycles Aged 12 or older at time of survey Some population exclusions (~2% of population) Quebec excluded for DAD and NACRS linkages Socioeconomic Ethno-cultural Health status Health behaviours Health care use Canadian Vital Statistics Death Database Discharge Abstract Database 30

31 Main strengths & limitations Strengths Population based Rich source of information on the cohort characteristics and outcomes Large sample size Able to examine several variables simultaneously Multilevel analysis Limitations Information collected at one point in time (changes in risk factors are not captured) Some population exclusions (reserves, children) 31

32 32 3) 1991 Canadian Census Health and Environment Cohort aka CanCHEC

33 Context Greater focus on understanding potential inequalities in health outcomes Vital statistics, registries and health administrative data lack individual identifiers (ethnicity, Indigenous identity) or characteristic Identification of differences in mortality across socio-economic characteristics for a number of populations Immigrants, ethnic origins, First Nations, Métis, and Inuit Produce baseline indicators of mortality for monitoring health disparities Life expectancy & mortality by detailed population groups (occupation, education, income groups) 33

34 Research areas Sub-population analysis First Nations, Métis, immigrants (year of immigration), place of birth, ethnic origin etc Analysis by socioeconomic status Income (source, household, individual), education (years, qualifications), occupation, industry, type of housing, marital status Multi-dimensional analysis Exposure analysis Assign exposure via postal code representative points 34

35 1991 Census Cohort: mortality & cancer follow-up Residential mobility through time 1991 long-form census n= 2.7 million Canadian Vital Statistics Death Database Satellitederived PM 2.5, NO 2, O 3 age & sex education & income employment immigration status ethnicity Canadian Cancer Registry 35 Land use regression models Point sources of pollution

36 1991 census cohort Eligibility Enumerated on 1991 census long form (1 in 5 households *) Aged 25 or older as of June 4, 1991 Not a usual resident of an institution N=3,576,487 Note that 3.4% of the Canadian population of all ages were not enumerated by the census Linkage approval for 15% of persons aged 25+ * Note that all residents of Indian Reserves and remote northern communities receive long form questionnaire 36

37 1991 census cohort Cohort creation Eligible census respondents linked to tax filer data (non-financial) in order to get names Matching variables: sex, date of birth, postal code, spousal date of birth Results: 80% linkage rate, 99% correct links Cohort is slightly biased to those of higher socioeconomic status Deterministic linkage to annual place of residence and Longitudinal Worker File Probabilistic linkage to mortality and cancer 37

38 How good was the cohort? Characteristic Cohort In-scope* Total (count) 2,734,835 3,576,485 Sex (%) Male Female Age (%) 25 to to Educational attainment (%) Less than secondary graduation Secondary graduation or higher Income adequacy quintile (%) Quintile 1-poorest Quintile 5-richest * In-scope refers to all individuals who were enumerated by the long-form, were aged 25+, and were not a resident of an institution 38

39 Results survival 100 Percentage surviving to various ages in Canada for and 2002 (average) compared to cohort for Men-Life tables Men-Cohort Women-Life tables Women-Cohort 39

40 Research results: Income and Education Remaining life expectancy (at 25) by educational attainment within each income adequacy quintile and for each sex, follow-up Source: 1991 Canadian census cohort: mortality and cancer follow-up study ( ) 40

41 Main strengths & limitations Strengths Population based Large sample size (rare outcomes, small population groups) Able to examine several variables simultaneously Long latency period required for cancer outcomes Multilevel analysis Captures residential mobility over a 27 year period (environmental exposure via the use of postal code representative points) Limitations Census characteristics only measured at baseline (1991) No information on health behaviours Some population exclusions Non tax filers, under the age of 25, institutional residents at cohort inception, those not enumerated by 1991 long form census 41

42 Thank you! Philippe Finès, 42

43 Record linkage at StatCan General information For Health Social Data Linkage Environment (SDLE) Statistics Canada s official directives on our record linkage activities. This is a list and description of previously approved record linkage activities Research Data Centers (click on DRD linkage status for a list of data sources that are already linked in which you may be interested) The Research Data Centres (RDC) Program List of RDCs List of datasets currently available in the RDCs Application process and guidelines statcan.hsdrecordlinkage-dsscouplageenregistrements.statcan@canada.ca HSD Record Linkage Mailbox 43